Adaptive and Channel-Aware Detection of Selective Forwarding Attacks in Wireless Sensor Networks
US$52.52
10000 in stock
SupportDescription
Wireless sensor network consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The power of wireless sensor networks lies in the ability to deploy large numbers of tiny nodes that assemble and configure themselves. Many WSNs are deployed in unattended and even hostile environments to perform mission-critical tasks, such as battlefield reconnaissance and homeland security monitoring. However, due to the lack of physical protection, sensor nodes are easily com-promised by adversaries, making WSN vulnerable to various security threats. The selective forwarding attacks are concealed by the normal packet losses, complicating the attack detection. Therefore, it is very challenging to detect the selective forwarding attacks and improve the network performance. Hence this system proposes a channel-aware reputation system with adaptive detection threshold (CRS-A) to detect selective forwarding attacks. Specifically, we divide the network lifetime to a sequence of evaluation periods. During each evaluation period, sensor nodes estimate the nor-mal packet loss rates between themselves and their neighboring nodes, and adopt the estimated packet loss rates to evaluate the forwarding behaviors of its downstream neighbors along the data forwarding path.
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